MUFASA: Fast and Accurate Multivariate Time-Series Clustering
Proceedings of the ACM on Management of Data (PACMMOD 2026), Volume 4, Issue 3, Article 213, pages 1–29
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series
Proceedings of the ACM on Management of Data (PACMMOD 2026), Volume 4, Issue 3, Article 197, pages 1–30
The Power of Anomaly Detection in Predictive Maintenance
Proceedings of the ACM on Management of Data (PACMMOD 2026), Volume 4, Issue 3, Article 242, pages 1–33
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
Transactions on Machine Learning Research (TMLR 2026), pages 1–33
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection
Proceedings of the VLDB Endowment (PVLDB 2025), Volume 18, Issue 11, pages 4364–4379
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods
Proceedings of the VLDB Endowment (PVLDB 2025), Volume 18, Issue 11, pages 4380–4395
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression
Proceedings of the VLDB Endowment (PVLDB 2025), Volume 18, Issue 11, pages 4396–4409
BURST: Rendering Clustering Techniques Suitable for Evolving Streams
Proceedings of the VLDB Endowment (PVLDB 2025), Volume 18, Issue 11, pages 4054–4063
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation
Proceedings of the ACM on Management of Data (PACMMOD 2025), Volume 3, Issue 3, Article 220, pages 1–30
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Feature Explanations
Proceedings of the ACM on Management of Data (PACMMOD 2025), Volume 3, Issue 3, Article 232, pages 1–31
A Structured Study of Multivariate Time-Series Distance Measures
Proceedings of the ACM on Management of Data (PACMMOD 2025), Volume 3, Issue 3, Article 121, pages 1–29
Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures
31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025), Volume 2, pages 6151-6161
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
The VLDB Journal (VLDBJ 2025), Volume 34, Issue 3, pages 1–32
MSAD: A Deep Dive into Model Selection for Time Series Anomaly Detection
The VLDB Journal (VLDBJ 2025), Volume 34, Issue 6, pages 1–25
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
38th Conference on Neural Information Processing Systems (NeurIPS 2024), pages 108231–108261
AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices
40th International Conference on Data Engineering (ICDE 2024), pages 1506–1519
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances
Proceedings of the VLDB Endowment (PVLDB 2023), Volume 16, Issue 8, pages 2019–2032
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series
Proceedings of the VLDB Endowment (PVLDB 2023), Volume 16, Issue 11, pages 3418–3432
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp 2023), Volume 7, Issue 1, pages 1–26
TSB‑UAD: An End‑to‑End Benchmark Suite for Univariate Time‑Series Anomaly Detection
Proceedings of the VLDB Endowment (PVLDB 2022), Volume 15, Issue 8, pages 1697–1711
Volume Under the Surface: A New Accuracy Evaluation Measure for Time‑Series Anomaly Detection
Proceedings of the VLDB Endowment (PVLDB 2022), Volume 15, Issue 11, pages 2774–2787
Fast Adaptive Similarity Search through Variance‑Aware Quantization
38th International Conference on Data Engineering (ICDE 2022), pages 2969–2983
VergeDB: A Database for IoT Analytics on Edge Devices
11th Conference on Innovative Data Systems Research (CIDR 2021), pages 1–8
Good to the Last Bit: Data‑Driven Encoding with CodecDB
2021 ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), pages 843–856
Decomposed Bounded Floats for Fast Compression and Queries
Proceedings of the VLDB Endowment (PVLDB 2021), Volume 14, Issue 11, pages 2586–2598
SAND: Streaming Subsequence Anomaly Detection
Proceedings of the VLDB Endowment (PVLDB 2021, Volume 14, Issue 10, pages 1717–1729
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures
2020 ACM SIGMOD International Conference on Management of Data (SIGMOD 2020), pages 1887–1905
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage
Proceedings of the VLDB Endowment (PVLDB 2020), Volume 13, Issue 6, pages 925–938
GRAIL: Efficient Time-Series Representation Learning
Proceedings of the VLDB Endowment (PVLDB 2019), Volume 12, Issue 11, pages 1762–1777
Band-Limited Training and Inference for Convolutional Neural Networks
36th International Conference on Machine Learning (ICML 2019), pages 1745–1754
Fast, Scalable, and Accurate Algorithms for Time-Series Analysis
Ph.D. Dissertation, Columbia University, 2018
Fast and Accurate Time-Series Clustering
ACM Transactions on Database Systems (TODS 2017), Volume 42, Issue 2, pages 1–49
Screening for Pancreatic Adenocarcinoma using Signals from Web Search Logs
Journal of Oncology Practice (JOP 2016), Volume 12, Issue 8, pages 737–744
Predicting the Impact of Scientific Concepts Using Full Text Features
Journal of the American Society for Information Science and Technology (JASIST 2016), Volume 67, Issue 11, pages 2684–2696
The Social Dynamics of Language Change in Online Networks
8th International Conference on Social Informatics (SocInfo 2016), pages 41–57
Detecting Devastating Diseases in Search Logs
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2016), pages 559–568
k-Shape: Efficient and Accurate Clustering of Time Series
2015 ACM SIGMOD International Conference on Management of Data (SIGMOD 2015), pages 1855–1870